| --- |
| license: mit |
| language: |
| - es |
| - en |
| tags: |
| - cisco |
| - networking |
| - packet-tracer |
| - lora |
| - mistral |
| base_model: mistralai/Mistral-7B-Instruct-v0.3 |
| --- |
| |
| # TechMind Pro v9 ULTIMATE |
|
|
| 🚀 Asistente IA especializado en Redes Cisco y Packet Tracer |
|
|
| ## 📊 Métricas |
|
|
| - **Accuracy:** 93% verificada |
| - **Dataset:** 1,191 ejemplos únicos |
| - **Base Model:** Mistral-7B-Instruct-v0.3 |
| - **Fine-tuning:** LoRA (r=64, alpha=128) |
|
|
| ## 🎯 Características |
|
|
| - ✅ Configuraciones Cisco paso a paso |
| - ✅ Troubleshooting guiado |
| - ✅ Integración Packet Tracer |
| - ✅ Soporte OSPF, BGP, VLANs, ACLs, etc. |
| - ✅ Respuestas en español e inglés |
|
|
| ## 💻 Uso |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| from peft import PeftModel |
| import torch |
| |
| # Cargar modelo base |
| base_model = "mistralai/Mistral-7B-Instruct-v0.3" |
| tokenizer = AutoTokenizer.from_pretrained(base_model) |
| model = AutoModelForCausalLM.from_pretrained( |
| base_model, |
| load_in_8bit=True, |
| device_map="auto" |
| ) |
| |
| # Cargar LoRA |
| model = PeftModel.from_pretrained(model, "Delta0723/techmind-pro-v9") |
| |
| # Inferencia |
| prompt = "<s>[INST] ¿Cómo configuro IP 192.168.1.1 en GigabitEthernet0/0? [/INST]" |
| inputs = tokenizer(prompt, return_tensors="pt").to(model.device) |
| outputs = model.generate(**inputs, max_new_tokens=500) |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| ``` |
|
|
| ## 🌐 Demo Online |
|
|
| - **Landing:** https://techmind-landing.vercel.app |
| - **GitHub:** https://github.com/Moreno360/techmind-landing |
|
|
| ## 📚 Casos de Uso |
|
|
| 1. **Estudiantes CCNA/CCNP:** Generación rápida de configuraciones |
| 2. **Profesores:** Material de ejemplo para clases |
| 3. **Profesionales:** Troubleshooting rápido |
| 4. **Packet Tracer:** Guías paso a paso |
|
|
| ## 🎓 Entrenamiento |
|
|
| - **Método:** LoRA (Low-Rank Adaptation) |
| - **Hardware:** RunPod RTX A6000 |
| - **Duración:** ~6 horas |
| - **Framework:** HuggingFace Transformers + PEFT |
|
|
| ## 📝 Licencia |
|
|
| MIT License - Uso libre |
|
|
| ## 👤 Autor |
|
|
| Creado por [Delta0723](https://github.com/Moreno360) |
|
|
| ## 🔗 Links |
|
|
| - [Demo Web](https://techmind-landing.vercel.app) |
| - [GitHub Repo](https://github.com/Moreno360/techmind-landing) |
| - [Documentación](https://github.com/Moreno360/techmind-landing#readme) |
|
|